Cubature H∞ information filter

Chandra, Bharani, Gu, Da-Wei and Postlethwaite, Ian (2013) Cubature H∞ information filter. In: ECC13 - European Control Conference, 17th - 19th July 2013, Zurich, Switzerland.

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Abstract

This paper presents a state estimation algorithm referred to as a cubature H∞ information filter (CH∞IF) for nonlinear systems. The proposed algorithm is developed from a cubature Kalman filter, an H∞ filter and an extended information filter. The CH ∞IF is a derivative free filter, where the information state vector and information matrix are propagated rather than the state vector and error covariance matrix. Furthermore, the CH∞IF is extended for multi-sensor state estimation. The efficacy of the CH∞IF is demonstrated by a simulation example of a permanent magnet synchronous motor in the presence of Gaussian and non-Gaussian noises.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	G500 Information Systems
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	15 Jan 2015 11:15
Last Modified:	13 Oct 2019 00:33
URI:	http://nrl.northumbria.ac.uk/id/eprint/20955

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